Cloud Engineer - Azure, GCP, AWS Specialist

Krishnateja Naidu Pothuru

Cloud Engineer

Location: Alabama, USA Mail:********************@*****.*** Ph.: +1-423-***-**** LinkedIn PROFESSIONAL SUMMARY:

Cloud Engineer with 4+ years of hands-on experience delivering enterprise-grade cloud solutions across healthcare and banking domains in the USA and India.

Strong background in designing highly available, secure, and compliant cloud architectures aligned with industry regulations and enterprise governance standards.

Proven expertise in multi-cloud environments, with deep practical knowledge of Azure and Google Cloud Platform supporting mission-critical workloads.

Adept at collaborating with cross-functional teams to translate business and regulatory requirements into scalable technical solutions.

Demonstrated ability to improve operational efficiency, system reliability, and cost governance through proactive optimization and automation strategies.

Experienced in supporting large-scale migrations, modernization initiatives, and digital transformation programs for regulated enterprises.

TECHNICAL SKILLS:

Cloud platforms Microsoft Azure, Google Cloud Platform (GCP), Amazon Web Services (AWS) Infrastructure as Code (IaC) Terraform, Bicep, Ansible CI/CD & DevOps Azure DevOps, GitLab CI/CD, GitHub Actions, AWS CodePipeline Containerization & Orchestration Docker, Kubernetes, AKS, GKE, ECS, ECR, Helm, Kustomize Security & Compliance Azure Bastion, Azure Firewall, NSG, RBAC, Managed Identities, Private Endpoints, IAM, Cloud KMS, SonarQube, Aqua Trivy

Monitoring & Logging Azure Monitor, Log Analytics, Application Insights, Cloud Monitoring, Cloud Logging, Cloud Trace, Prometheus, Grafana

Networking Azure Virtual Network, GCP VPC, AWS VPC, Load Balancing, Firewall Rules Database & storage Azure Storage, Azure SQL, Cloud SQL, Amazon RDS (MySQL, PostgreSQL), Spanner, BigQuery, S3, EBS, S3 Glacier

Serverless & Automation Azure Functions, AWS Lambda, Python Scripting Data Engineering & Analytics Azure Synapse Link, Power BI Embedded, Cloud Composer (Apache Airflow), Pub/Sub, ETL Pipelines, Vertex AI, BigQuery ML

Healthcare & Compliance Standards FHIR, HL7, PHI, HIPAA, Dodd-Frank, SOX, GLBA, CFPB, FFIEC Version Control & Collaboration Git, GitHub

Business Intelligence & Visualization Power BI, Grafana Backup & Disaster Recovery EBS Snapshots, S3 Glacier, Multi-AZ Deployments PROFESSIONAL EXPERIENCE:

Cigna Healthcare – USA August 2024 – Present

Cloud Engineer

Designed and maintained secure Microsoft Azure infrastructure for healthcare applications, achieving 99.9% uptime while ensuring full HIPAA compliance for clinical systems.

Automated infrastructure provisioning using Terraform, reducing manual configuration efforts by 40% and ensuring consistent, auditable deployments across environments.

Deployed and managed containerized healthcare microservices using Docker and Azure Kubernetes Service (AKS), supporting a 30%+ increase in clinical workloads through horizontal scaling.

Implemented secure networking using Azure Virtual Network and Network Security Groups (NSG), reducing unauthorized access risks by 50% and protecting sensitive PHI.

Enforced least-privilege access using Azure RBAC and Managed Identities, improving identity security posture and audit readiness by 35%.

Optimized Azure resource utilization through right-sizing and capacity planning, achieving 20% cost savings while maintaining performance for healthcare workloads.

Integrated healthcare data platforms using FHIR standards, enabling interoperable data exchange across multiple clinical systems and improving data accessibility.

Monitored application performance and system health with Azure Monitor and Log Analytics, achieving 30% faster incident detection and consistent SLA adherence.

Implemented encrypted data storage and automated backup strategies using Azure Storage, ensuring 100% data encryption and compliance with healthcare retention policies. Cognizant– India June 2020 - July 2023

Cloud Engineer

Automated GCP resource provisioning using Terraform, improving deployment consistency by 45% and aligning Cloud SQL, BigQuery, and Pub/Sub with banking governance standards.

Implemented centralized observability with Cloud Monitoring, Cloud Logging, and Cloud Trace, reducing incident detection time by 35% and supporting regulatory audits.

Designed multi-region, highly available banking platforms on GCP using Compute Engine and GKE, achieving 99.9% uptime and Dodd-Frank and SOX compliance.

Built secure, auditable CI/CD pipelines using Cloud Build, GitLab CI/CD, and GitHub Actions, accelerating release cycles by 30% for financial applications.

Optimized infrastructure performance and cost by tuning Compute Engine workloads, GKE clusters, and Cloud Storage, delivering 25% cost savings.

Orchestrated scalable ETL and analytics workflows using Cloud Composer, enabling near real-time fraud detection and improving reporting latency by 40%.

Secured application traffic by configuring VPC networking, firewall rules, and IAM policies, ensuring GLBA and CFPB compliance while reducing security risks by 50%.

Led migrations of on-premises MySQL and PostgreSQL databases to Cloud SQL and Spanner with zero data loss and downtime under 30 minutes.

Integrated Vertex AI and BigQuery ML to enhance predictive analytics, improving fraud detection accuracy by 20% and credit risk assessment.

EDUCATION:

Master of Computer Science – Auburn university at Montgomery, AL, USA Bachelor of Automobile Engineering - Sri Venkateswara college of engineering and technology, Andhra Pradesh, India

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